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Remote phenology and leaf exchange patterns towards a sazonality gradient

Grant number: 14/00215-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2014
Effective date (End): August 31, 2018
Field of knowledge:Biological Sciences - Ecology
Principal Investigator:Leonor Patricia Cerdeira Morellato
Grantee:Bruna de Costa Alberton
Home Institution: Instituto de Biociências (IB). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil
Associated scholarship(s):16/01413-5 - Using leaf phenology patterns to investigate net ecosystem exchange controls in tropical vegetations, BE.EP.DR

Abstract

The near surface remote phenology is a new area of phenology and offers great opportunity to obtain an impartial assessment of seasonal changes in tropical environments. In this project we aim to incorporate new technologies of phenological observations using digital cameras installed at the field, promoting the analysis of the RGB color channels : red ( R) , green (G ) and blue ( B ) and test them as an innovative tool and supplementary to the direct on-the-ground phenological observations data of leaf flush and leaf senescence in tropical environments . This proposal is part of the project e-phenology, recently approved by FAPESP - Microsoft Research Program: "Combining new technologies to monitor phenology from leaves to ecosystems." The goals of this project are: (i) analyze the remote phenology of species and community area of a cerrado sensu stricto (Core area), correlating to climate data , and validating with data collected on-the-ground and identifying functional groups for different species based on their leaf strategies; (ii) monitor and describe phenological patterns for different vegetation sites along a gradient of seasonality using data from digital cameras and correlate them with local climatic data, to identify environmental triggers in different vegetation types; (iii) identify a color change pattern of the RGB color channels for leaf exchange at the community and species levels within environments that are under different seasonal pressures; (iv) refine the analysis of phenological responses of the cerrado species in the digital images through analysis of leaves spectral information in order to more accurately categorize the patterns of leaf exchanges at the cerrado vegetation and the importance of the red channel. The sites selected within a seasonal gradient includes: outcrops, cerrado (grassland), cerrado sensu strito, semi-deciduous forest and Atlantic forest. This time series obtained for each one of these vegetation types will be analyzed and correlated with local climatic data. Thus, we can describe phenological changes detected by digital cameras for the community, correlate these changes with abiotic factors and verify how this response may vary for different vegetation sites. This work will offer a new tool for phenological monitoring in tropical vegetation. (AU)

Scientific publications (9)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GUTIERREZ DE CAMARGO, MARIA GABRIELA; DE CARVALHO, GUSTAVO HENRIQUE; ALBERTON, BRUNA DE COSTA; REYS, PAULA; CERDEIRA MORELLATO, LEONOR PATRICIA. Leafing patterns and leaf exchange strategies of a cerrado woody community. Biotropica, v. 50, n. 3, p. 442-454, MAY 2018. Web of Science Citations: 3.
ALBERTON, BRUNA; TORRES, RICARDO DA S.; CANCIAN, LEONARDO F.; BORGES, BRUNO D.; ALMEIDA, JURANDY; MARIANO, GREICE C.; DOS SANTOS, JEFERSSON; CERDEIRA MORELLATOA, LEONOR PATRICIA. Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation. PERSPECTIVES IN ECOLOGY AND CONSERVATION, v. 15, n. 2, p. 82-90, APR-JUN 2017. Web of Science Citations: 12.
LEITE, ROGER A.; SCHNORR, LUCAS MELLO; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.; COMBA, JOAO L. D. PhenoVis - A tool for visual phenological analysis of digital camera images using chronological percentage maps. INFORMATION SCIENCES, v. 372, p. 181-195, DEC 1 2016. Web of Science Citations: 4.
ALMEIDA, JURANDY; PEDRONETTE, DANIEL C. G.; ALBERTON, BRUNA C.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Unsupervised Distance Learning for Plant Species Identification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, 1, SI, p. 5325-5338, DEC 2016. Web of Science Citations: 4.
FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, n. 2, p. 205-214, NOV 1 2016. Web of Science Citations: 7.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 90-100, OCT 1 2016. Web of Science Citations: 13.
FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; ROCHA, ANDERSON; TORRES, RICARDO DA S. Time series-based classifier fusion for fine-grained plant species recognition. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 101-109, OCT 1 2016. Web of Science Citations: 5.
MARIANO, GREICE C.; MORELLATO, LEONOR PATRICIA C.; ALMEIDA, JURANDY; ALBERTON, BRUNA; DE CAMARGO, MARIA GABRIELA G.; TORRES, RICARDO DA S. Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations. ECOLOGICAL ENGINEERING, v. 91, p. 396-408, JUN 2016. Web of Science Citations: 6.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; MIRANDA, WANER O.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Deriving vegetation indices for phenology analysis using genetic programming. ECOLOGICAL INFORMATICS, v. 26, n. 3, p. 61-69, MAR 2015. Web of Science Citations: 11.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ALBERTON, Bruna de Costa. Fenologia remota e os padrões de trocas foliares ao longo de um gradiente de sazonalidade. 2018. 252 f. Doctoral Thesis - Universidade Estadual Paulista "Júlio de Mesquita Filho" Instituto de Biociências (Campus de Rio Claro)..

Please report errors in scientific publications list by writing to: cdi@fapesp.br.
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